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Improvements / Initial structure

Initial high-level view of the TNH Scholar ecosystem.

Core Processing Pipelines:

  1. Media Acquisition & Transformation
Sources -> Raw Content -> Processed Content -> Formatted Output
─────┬──────    ────┬────    ─────┬─────     ────┬────
     β”‚              β”‚             β”‚              β”‚
   Video          Audio        Sections       XML/Web
   Audio          Text         Translation    Publication
   PDFs           Transcript   Formatting     Training Data
   Journals       OCR         
   Books
  1. AI Processing Lifecycle
Source Content -> Training Data -> Model Training -> Enhanced Processing
      β”‚              β”‚                β”‚                β”‚
      └──────────────┴────────────────┴────────────┐   β”‚
                                                   β”‚   β”‚
                                                   v   v
                                             Improved Content
  1. Tool Categories:
Acquisition Tools     Processing Tools    AI Integration       Publication Tools
────────────────     ────────────────    ─────────────       ────────────────
ytt-fetch            tnh-fab             OpenAI Interface    XML Formatting
audio-transcribe     OCR Processing      Pattern System      Web Publishing
PDF Processing       Text Processing     Model Training      Search Indexing

This high-level view suggests some key improvements needed:

  1. Standard Interfaces

  2. Common base classes for content types

  3. Shared metadata structures

  4. Consistent processing patterns

  5. Pipeline Management

  6. Better workflow definition

  7. Progress tracking

  8. Error recovery

  9. Tool Integration

  10. Clearer boundaries between tools

  11. Standard communication formats
  12. Simplified composition